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Record W7062644514

The Transboundary Movement of Hazardous Solid Waste Between the United States and Mexico

2024· article· en· W7062644514 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueVTechWorks (Virginia Tech) · 2024
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsnot available
Fundersnot available
KeywordsHazardous wasteProduct (mathematics)Movement (music)Artifact (error)Spring (device)Municipal solid waste
DOInot available

Abstract

fetched live from OpenAlex

This study examines the transboundary movement of hazardous waste between the United States and Mexico and the consequences resulting from policy failures to regulate the trade. This issue continues to intensify despite measures and policies passed by the United States, impacting the public and environmental health of Mexican cities and communities near the United States - Mexico border. This research discusses the practice of hazardous waste trading, a global phenomenon, and focuses on the United States particularly because it is the largest exporter in the global waste trade. Focus is placed on U.S. trade with Mexico because although Canada imports the most waste from the U.S., Mexico receives the second most waste but cannot deal with it in an environmentally sound manner. Examination of the historical context influencing this trade relationship and policy framework is used to pinpoint weaknesses and potential leverage points to provide recommendations. Limited data on exports from the U.S. is publicly available on waste classification and volumes, restricting the research scope and being a policy failure itself. A content analysis of news sources and legal documentation provides information regarding the trade’s impact on communities. Residents near waste disposal sites report illnesses further exemplifying the need for stricter regulations within this trade to protect human health. Companies implicated include Tesla, Sally's Beauty Supply, and the U.S. Navy. This case study emphasizes the ethical and environmental risks of the global waste trade, placing responsibility on developed nations and corporations. As a part of this report, policy recommendations are made to further strengthen the framework of international policies, U.S. domestic policy, and the bilateral agreements with Mexico that regulate the waste trade.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.594
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.242
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it